CN114013456A - Target vehicle screening method for pressing line in automatic driving assistance process - Google Patents
Target vehicle screening method for pressing line in automatic driving assistance process Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000012216 screening Methods 0.000 title claims abstract description 23
- 238000004364 calculation method Methods 0.000 abstract description 5
- 230000008447 perception Effects 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/403—Image sensing, e.g. optical camera
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/408—Radar; Laser, e.g. lidar
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Abstract
The invention discloses a method for screening target vehicles of a line pressing in an automatic driving assistance process, which relates to the technical field of automatic control of vehicles and aims at solving the problems that the conventional target vehicle screening is easy to be interfered by a front vehicle, so that the self-adaptive cruise process has the phenomenon of error braking, low screening accuracy and errors, and the safety is reduced, and the following scheme is provided, and comprises the following steps: s1, acquiring target information: acquiring information of a front vehicle through a sensor; s2, acquiring lane information: calculating lane information in a cubic polynomial mode through a sensor output vehicle wire; s3, calculating the vehicle position: calculating the position of the front vehicle; s4, calculating the vehicle proportion: and calculating the proportion of the vehicle crossing into the lane part through the transverse distance difference of the vehicle. According to the target vehicle screening method, the screening accuracy is effectively improved through real-time calculation, the safety of the vehicle is guaranteed, and the stability and the comfort of vehicle control are high.
Description
Technical Field
The invention relates to the technical field of vehicle automatic control, in particular to a method for screening target vehicles for pressing a line in an automatic driving assistance process.
Background
The Chinese document with the patent application number of CN202010086273.8 specifically discloses a barrier screening method, a device, electronic equipment and a storage medium, and further analysis is carried out, wherein the application obtains environment perception information corresponding to a main vehicle, the main vehicle is an automatic driving vehicle to be processed, and the environment perception information comprises barrier information in a perception area; determining the running track of the main vehicle in a future preset time length; the technology detects longitudinal distance and transverse distance information between a front vehicle and the vehicle through a sensor, judges whether the target vehicle crosses a lane line to cut into or cut out of a self-lane through calculating the change of the position of the target vehicle within a period of time, and judges whether the self-adaptive cruise of the vehicle generates interference or not in the process of pressing a line to drive the front vehicle in the prior art; in the prior art, when a target vehicle runs in a line pressing process, the target vehicle can be screened as an interested target, so that the phenomenon of error braking in a self-adaptive cruise process is caused; in the prior art, a certain error exists in screening of a pressed target vehicle, when a small part of the target vehicle is in a self lane and has no overlapping risk with the vehicle, the probability of screening the target vehicle as an interested target is avoided, and therefore, the pressed target vehicle screening method in the automatic driving assistance process is provided.
Disclosure of Invention
The invention provides a target vehicle screening method for pressing a line in an automatic driving assistance process, which solves the problems that the conventional target vehicle screening is easily interfered by a front vehicle, so that the error brake phenomenon is caused in the self-adaptive cruise process, the screening accuracy is low, and the safety is reduced due to the error.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for screening target vehicles for pressing lines in an automatic driving assistance process comprises the following steps:
s1, acquiring target information: acquiring information of a front vehicle through a sensor;
s2, acquiring lane information: calculating lane information in a cubic polynomial mode through a sensor output vehicle wire;
s3, calculating the vehicle position: calculating the position of the front vehicle;
s4, calculating the vehicle proportion: calculating the proportion of the vehicle crossing into the lane through the transverse distance difference of the vehicle;
s5, calculating the vehicle overlapping risk: the vehicle overlap risk is calculated by comparing the distance from the vehicle to the left and right lane lines.
Preferably, the acquisition target information in step S1 is acquired by the front camera and the front millimeter wave radar sensor, and includes the vehicle Length obs _ Length, the vehicle Width obs _ Width, the vehicle height obs _ High, the longitudinal relative distance obs _ dx, the transverse relative distance obs _ dy, the longitudinal relative speed obs _ dxv, the transverse relative speed obs _ dyv, and the coefficient of the direction angle obs _ yaw _ angle of the front vehicle.
Preferably, the lane information is acquired in step S2, and the lane information is calculated by the sensor output vehicle wire in a cubic polynomial manner, wherein the cubic polynomial manner is as follows:
y=C0+C1x+C2x2+C3x3
the left lane line coefficient of the self lane is C0_ L, C1_ L, C2_ L, C3_ L, and the right lane line coefficient is C0_ R, C1_ R, C2_ R, C3_ R.
Preferably, the calculated vehicle position in step S3 is determined by calculating the y coordinate dy _ L on the left lane line of the lane where the vehicle is located at the front vehicle dx, and the y coordinate dy _ R on the right lane line.
Preferably, the vehicle proportion involved in the step S4 is calculated by calculating the proportion Ratio of the target vehicle crossing into the own-lane portion from the difference between the lateral relative distances obs _ dy and dy _ L and dy _ R.
Preferably, the vehicle ratio calculated in step S4 indicates that the target vehicle is located on the right side of the host vehicle if the lateral relative distance obs _ dy > 0;
if obs _ dy <0, the target vehicle is on the left side of the vehicle.
Preferably, in the calculation of the vehicle ratio in step S4, if the lateral relative distance obs _ dy > 0:
if obs _ dy-dy _ R >0.5 obs _ Width, indicating that the target vehicle is in the right lane, Ratio is 0;
if obs _ dy-dy _ R < -0.5 × obs _ Width, which indicates that the target vehicle is in the own lane, Ratio is 1;
if obs _ dy-dy _ R > -0.5 obs _ Width and obs _ dy-dy _ R <0.5 obs _ Width, then
Preferably, in the calculation of the vehicle ratio in step S4, if the lateral relative distance obs _ dy is less than 0:
if obs _ dy-dy _ L >0.5 obs _ Width, it indicates that the target vehicle is in the own lane, Ratio is 1;
if obs _ dy-dy _ L < -0.5 × obs _ Width, it indicates that the target vehicle is in the left lane, Ratio is 1;
if obs _ dy-dy _ L > -0.5 obs _ Width and
obs _ dy-dy _ L <0.5 obs _ Width, then
Preferably, the vehicle overlap risk is calculated in step S5, the distance between the vehicle and the left lane line is C0_ L, the distance between the vehicle and the right lane line is C0_ R, and the position of the vehicle is calculated by | C0_ L | and | C0_ R | so as to calculate whether the target vehicle and the vehicle overlap risk.
Preferably, the calculation of the vehicle overlap risk in step S5 indicates that the own vehicle is traveling to the right side in the own lane if | C0_ L | > | C0_ R |, and at this time, it is calculated whether the own vehicle overlaps with the target vehicle, and if there is an overlapping portion, the target vehicle needs to be screened as the target of interest.
The invention has the beneficial effects that:
1. the interested target is screened out by calculating the proportion of the front target vehicle in the road in real time, so that the influence of the line pressing process on the control of the vehicle when the front vehicle is cut in and out is effectively avoided, and the stability and the safety of the control are improved.
2. Through calculating the overlapping risk of the target vehicle and the self-vehicle, the brake phenomenon caused by the fact that the front pressing line target is the interested target in the error screening caused in the self-adaptive cruise process is optimized, the generation of the brake-free phenomenon is avoided, the accuracy of the self-adaptive cruise is improved, and the stability and the comfort of the self-adaptive cruise are optimized.
In conclusion, the target vehicle screening method effectively improves the screening accuracy through real-time calculation, ensures the safety of the vehicle, and has high stability and comfort of vehicle control.
Drawings
Fig. 1 is a flowchart of a method for screening target vehicles for pressing a line in an automatic driving assistance process according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example 1
Referring to fig. 1, a method for screening target vehicles for pressing a line in an automatic driving assistance process includes the steps of:
s1, acquiring target information: acquiring information of a front vehicle through a sensor;
s2, acquiring lane information: calculating lane information in a cubic polynomial mode through a sensor output vehicle wire;
s3, calculating the vehicle position: calculating the position of the front vehicle;
s4, calculating the vehicle proportion: calculating the proportion of the vehicle crossing into the lane through the transverse distance difference of the vehicle;
s5, calculating the vehicle overlapping risk: the vehicle overlap risk is calculated by comparing the distance from the vehicle to the left and right lane lines.
Example 2
Referring to fig. 1, a method for screening target vehicles for pressing a line in an automatic driving assistance process includes the steps of:
s1, acquiring target information, wherein the target information comprises coefficients of a vehicle Length obs _ Length, a vehicle Width obs _ Width, a vehicle height obs _ High, a longitudinal relative distance obs _ dx, a transverse relative distance obs _ dy, a longitudinal relative speed obs _ dxv, a transverse relative speed obs _ dyv and a direction angle obs _ yaw _ angle of the front vehicle, and the information of the front vehicle is acquired through a front-view camera and a sensor of a front millimeter wave radar; acquiring lane information, and calculating the lane information in a cubic polynomial mode through a sensor output vehicle wire, wherein the cubic polynomial mode is as follows:
y=C0+C1x+C2x2+C3x3
wherein the left lane line coefficient from the lane is C0_ L, C1_ L, C2_ L, C3_ L, and the right lane line coefficient is C0_ R, C1_ R, C2_ R, C3_ R;
and S2, calculating the position of the vehicle, wherein the y coordinate of the position of the vehicle on the left lane line of the lane where the vehicle is located at the position of the front vehicle dx is dy _ L, and the y coordinate of the position of the vehicle on the right lane line is dy _ R.
S3, calculating the vehicle proportion, which calculates the proportion Ratio of the target vehicle crossing into the self lane part through the difference value of the transverse relative distance obs _ dy and dy _ L and dy _ R;
if the transverse relative distance obs _ dy is greater than 0, the target vehicle is positioned on the right side of the self vehicle;
if obs _ dy <0, the target vehicle is positioned on the left side of the self vehicle;
s3.1, if the transverse relative distance obs _ dy is greater than 0:
if obs _ dy-dy _ R >0.5 obs _ Width, indicating that the target vehicle is in the right lane, Ratio is 0;
if obs _ dy-dy _ R < -0.5 × obs _ Width, which indicates that the target vehicle is in the own lane, Ratio is 1;
if obs _ dy-dy _ R > -0.5 obs _ Width and obs _ dy-dy _ R <0.5 obs _ Width, then
S3.2, if the transverse relative distance obs _ dy is less than 0:
if obs _ dy-dy _ L >0.5 obs _ Width, it indicates that the target vehicle is in the own lane, Ratio is 1;
if obs _ dy-dy _ L < -0.5 × obs _ Width, it indicates that the target vehicle is in the left lane, Ratio is 1;
if obs _ dy-dy _ L > -0.5 obs _ Width and
obs _ dy-dy _ L <0.5 obs _ Width, then
And S4, calculating a vehicle overlapping risk, wherein the distance between the vehicle and the left lane line is C0_ L, the distance between the vehicle and the right lane line is C0_ R, the position of the vehicle is calculated through | C0_ L | and | C0_ R | so as to calculate whether the target vehicle and the vehicle are at the overlapping risk, if | C0_ L | > | C0_ R | indicates that the vehicle runs to the right side in the vehicle lane, at the moment, whether the vehicle and the target vehicle are overlapped is calculated, and if the overlapped part exists, the target vehicle needs to be screened as the target of interest.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. A method for screening target vehicles for pressing lines in an automatic driving assistance process is characterized by comprising the following steps:
s1, acquiring target information: acquiring information of a front vehicle through a sensor;
s2, acquiring lane information: calculating lane information in a cubic polynomial mode through a sensor output vehicle wire;
s3, calculating the vehicle position: calculating the position of the front vehicle;
s4, calculating the vehicle proportion: calculating the proportion of the vehicle crossing into the lane through the transverse distance difference of the vehicle;
s5, calculating the vehicle overlapping risk: the vehicle overlap risk is calculated by comparing the distance from the vehicle to the left and right lane lines.
2. The method of claim 1, wherein the step S1 includes obtaining target information, which includes vehicle Length obs _ Length, vehicle Width obs _ Width, vehicle height obs _ High, longitudinal relative distance obs _ dx, transverse relative distance obs _ dy, longitudinal relative speed obs _ dxv, transverse relative speed obs _ dyv, and coefficient of direction angle obs _ yaw _ angle of the preceding vehicle, by a forward-looking camera and a sensor of a forward millimeter wave radar.
3. The method of claim 1, wherein the step S2 includes obtaining lane information, and calculating the lane information by a cubic polynomial method through the sensor output vehicle wires, wherein the cubic polynomial method is as follows:
y=C0+C1x+C2x2+C3x3
the left lane line coefficient of the self lane is C0_ L, C1_ L, C2_ L, C3_ L, and the right lane line coefficient is C0_ R, C1_ R, C2_ R, C3_ R.
4. The method as claimed in claim 1, wherein the step S3 includes calculating the vehicle position, and the y coordinate of the vehicle position on the left lane line of the lane where the vehicle is located at the position of the vehicle dx in front of the vehicle is calculated as dy _ L, and the y coordinate of the vehicle position on the right lane line is dy _ R.
5. The method of claim 1, wherein the step S4 involves calculating a vehicle Ratio by calculating a Ratio of the target vehicle crossing into the self lane portion from a difference between lateral relative distances obs _ dy and dy _ L and dy _ R.
6. The method of claim 1, wherein the step S4 includes calculating a vehicle ratio indicating that the target vehicle is on the right side of the vehicle if the lateral relative distance obs _ dy > 0;
if obs _ dy <0, the target vehicle is on the left side of the vehicle.
7. The method of claim 1, wherein if the vehicle proportion involved in step S4 is calculated, and if the transverse relative distance obs _ dy >0, then:
if obs _ dy-dy _ R >0.5 obs _ Width, indicating that the target vehicle is in the right lane, Ratio is 0;
if obs _ dy-dy _ R < -0.5 × obs _ Width, which indicates that the target vehicle is in the own lane, Ratio is 1;
if obs _ dy-dy _ R > -0.5 obs _ Width and obs _ dy-dy _ R <0.5 obs _ Width, then
8. The method of claim 1, wherein if the transverse relative distance obs _ dy is less than 0, then:
if obs _ dy-dy _ L >0.5 obs _ Width, it indicates that the target vehicle is in the own lane, Ratio is 1;
if obs _ dy-dy _ L < -0.5 × obs _ Width, it indicates that the target vehicle is in the left lane, Ratio is 1;
if obs _ dy-dy _ L > -0.5 obs _ Width and obs _ dy-dy _ L <0.5 obs _ Width, then
9. The method of claim 1, wherein the step S5 involves calculating a risk of overlapping the vehicle, wherein the distance between the vehicle and the left lane line is C0_ L, the distance between the vehicle and the right lane line is C0_ R, and the position of the vehicle is calculated by | C0_ L | and | C0_ R | to calculate whether the target vehicle and the vehicle are at risk of overlapping.
10. The method of claim 9, wherein the step S5 involves calculating a risk of vehicle overlap, and if the calculated risk is | C0_ L | > | C0_ R |, the vehicle is shown to travel to the right in the lane, and it is calculated whether the vehicle overlaps with the target vehicle, and if the overlap exists, the target vehicle needs to be screened as the target of interest.
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Cited By (1)
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